Llama 3.1 405B vs Llama 3.3 70B Instruct
At a Glance
| Compare |  Llama 3.1 405BMeta | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.10Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $0.32Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 131K | 131K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 28, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | Llama-3.1-405B | Llama-3.3-70B-Instruct |
|---|---|---|
| Developer | Meta | Meta |
| Family | Llama 3 1 405b | Llama 3 3 70b Instruct |
| Model | Llama-3.1-405B | Llama-3.3-70B-Instruct |
| Version | Llama-3.1-405B | Llama-3.3-70B-Instruct |
| Lifecycle | active | active |
| Released | 2024-07-23 | 2024-12-06 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 131K | 131K |
| Total parameters | 405.9B | 70.6B |
| Active parameters | Unknown | Unknown |
| License | llama3.1 | llama3.3 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Together Ai (Standard) | Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | generation | chat, generation, tools |
Llama 3.1 405B Capabilities
Llama 3.3 70B Instruct Capabilities
Related Comparisons
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|---|---|---|---|
Llama-3.1-405BMeta | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | Llama-3.1-405BMeta | cross-developer peerstext |
 Gemini 3.1 ProGoogle DeepMind | vs | Llama-3.1-405BMeta | cross-developer peerstext |
 DeepSeek-V4.1-FlashDeepSeek | vs | Llama-3.1-405BMeta | cross-developer peerstext |
Llama-3.1-405BMeta | vs | Grok 4.6xAI | cross-developer peerstext |
Llama-3.1-405BMeta | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
Llama-3.1-405BMeta | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | Llama-3.1-405BMeta | cross-developer peerstext |
Llama-3.1-405BMeta | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Llama-3.1-405BMeta | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Llama-3.1-405BMeta | cross-developer peerstext |
Llama-3.1-405BMeta | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Llama 3.1 405B vs Llama 3.3 70B Instruct FAQs
Is Llama 3.1 405B or Llama 3.3 70B Instruct better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Llama 3.1 405B and Llama 3.3 70B Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Llama 3.1 405B or Llama 3.3 70B Instruct?+
Only Llama 3.3 70B Instruct has a directly sourced input price: $0.10 per million tokens. Only Llama 3.3 70B Instruct has a directly sourced output price: $0.32 per million tokens.
Which has a larger context window, Llama 3.1 405B or Llama 3.3 70B Instruct?+
Neither model has a larger sourced context window in this comparison. Llama 3.1 405B is 131K and Llama 3.3 70B Instruct is 131K.
Which performs better in benchmarks, Llama 3.1 405B or Llama 3.3 70B Instruct?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Llama 3.1 405B or Llama 3.3 70B Instruct be self-hosted?+
Both models have the same recorded self-hosting status: supported. Llama 3.1 405B is open weight; Llama 3.3 70B Instruct is open weight.
Can Llama 3.1 405B and Llama 3.3 70B Instruct understand images?+
Llama 3.1 405B is not documented with image input; Llama 3.3 70B Instruct is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Llama 3.1 405B or Llama 3.3 70B Instruct?+
Neither has a larger sourced maximum output. Llama 3.1 405B is — and Llama 3.3 70B Instruct is —.
Do Llama 3.1 405B and Llama 3.3 70B Instruct support reasoning and tool use?+
Llama 3.1 405B: none of these features are definitively sourced. Llama 3.3 70B Instruct: tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Llama 3.1 405B or Llama 3.3 70B Instruct?+
Llama 3.1 405B has 1 sourced provider route; Llama 3.3 70B Instruct has 3, so Llama 3.3 70B Instruct has broader tracked availability.
Which offers better value, Llama 3.1 405B or Llama 3.3 70B Instruct?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.